2019 B.E. Electronics & TeleCommunication Engineering B.E Jadavpur University Electronics Engineering  Signal Theory and Noise (2nd Year First Semester) 2019 Question paper
Are you looking for the old question papers of Jadavpur University Electronics Engineering  Signal Theory and Noise ? Here is the previous year question paper from Jadavpur University. This is the original question paper from the ETCE Department second year first semester exam conducted by Jadavpur University in year 2019. Feel free to download the question paper from here and use it to prepare for your upcoming exams.
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Exam Name B.E Electronics and TeleCommunication Exam 2nd Year 1st Semester
Subject Signal Theory and Noise
Total Time Three Hours Maximum Marks 100
Syllabus
Introduction, Signal definition, different type of signals: analog & discrete. time domain and frequency domain representation, periodic and aperiodic signals, energy and power signal, deterministic and nondeterministic signal, signals and vector analogy, othogonality of signal functions, some useful signal operations, Basis function and concept of generalized Fourier series: different forms, Fourier series of some useful functions, Fourier transform, inverse Fourier transforms, transform of some useful functions, convolution and correlation in time domain and frequency domain. Some properties of Fourier transform. Perseval's theorem, energy spectral density, essential bandwidth of a signal, energy of the modulated signal, time autocorrelation function and the energy spectral density, power spectral density, time autocorrelation function of power signals, Input and output power spectral densities, psd of modulated signals. Sampling theorem, Sampling and reconstruction of signals, practical difficulties in signal reconstruction, Aliasing, different types of sampling, some applications of the sampling theorem. Sources of noise: atmospheric noise, solar noise, cosmic noise, industrial noise, thermal noise, shot noise, transittime noise, flicker noise. Noise calculations: resistor noise, multipleresistor noise sources, noise in reactive circuits, signaltonoise ratio, noise figure, noise temperature, calculation of noise due to several amplifiers in cascade, calculation of noise figure and equivalent noise temperature of a cascade. Some statistical terms: random variable, random process, ensemble, sample function, time average, ensemble average, stationary and ergodic process, correlation between two random variables. Mathematical representation of noise: frequency domain representation of noise, spectral components of noise, superposition of noise, mixing of noise, effect of a filter on the power spectral density of noise, linear filteringrc lowpass filter, rectangular lowpass filter, rectangular bandpass filter, differentiating filter, integrator, noise bandwidth, quadrature components of noise, power spectral density calculation of quadrature components, concept of additive white Gaussian noise channel. Familiarization with MATLAB tools for signal analysis.
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